Automatically assigned DDC number: 00631

Manually assigned DDC number: 00633

Number of references: 4

Title: Multiagent Learning Systems and Expert Agents

Author:

Author:

Subject: Claudia V. Goldman,Jeffrey S. Rosenschein Multiagent Learning Systems and Expert Agents

Description: This paper focuses on two main research topics we are investigating. First, we investigate how agents can learn strategic behavior in a teacher-learner model. The notion of the teacher here should be understood as a "trainer". We present the general teacher-learner model together with results from experiments performed in the traffic lights domain. Second, we investigate how agents can learn to become experts, and eventually organize themselves appropriately for a range of tasks. The model is based on evolutionary processes that lead to organizations of experts. In our case, the organization emerges as a step prior to the execution of a task, and as a general process related to a range of problems in a domain. To explore these ideas, we designed and implemented a testbed based on the idea of the game of Life.

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1997-07-10

Pubyear: 1997

Format: ps

Identifier: http://citeseer.ist.psu.edu/150076.html

Source: ftp://ftp.cs.huji.ac.il/users/clag/aaai97S/symp.ps

Language: en

Relation:

Relation:

Relation:

Relation:

Rights: unrestricted

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